long range seismic acquisition with das: challenges in ......subsea wells and ocean bottom fibers...
TRANSCRIPT
www.optasense.com © 2019 OptaSense Ltd.
Long Range Seismic Acquisition with DAS: Challenges in Production and Subsea Environments
September 2020
J. Andres Chavarria
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Contents
▪ Applications of Distributed Sensing in Offshore Wells
▪ Reservoir and production monitoring with DAS
▪ New Developments in IU technology for Subsea and long tieback wells
▪ Ocean Bottom survey
▪ Subsea well implementation
▪ Autonomous systems and data streaming
▪ Conclusions
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Offshore Applications of Fiber Optic Distributed Sensing
▪ Reservoir monitoring▪ 4D Seismic Timeshifts (Total’s North Sea Work: Merry et al Seismic2020 EAGE2020)
▪ 4D VSP from producing wells
▪ 4D Seismic Waterflood Mapping
▪ Carbon Capture and Storage
▪ Production Monitoring▪ On-demand Optical DAS – PLT
▪ Sand control
▪ Screen analysis
▪ Smart Well monitoring▪ Artificial Lift control
▪ ICV Control
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CO2 Plume Tracking with TimeLapse DAS VSP
• Validation of first time lapse DAS CO2 plume tracking in 2016
• DAS technology is able to detect the progression of CO2 in storage facilities
• Third generation IU provided repeatability
• Two new IU’s have been released since then
• Four vintages of DAS VSP have shown progression of plume
• Fiber Optic data provides a cost saving repeatable technology to monitor increasingly critical carbon storage and EOR facilities
Repeatable DAS Surveys capture subtle amplitude anomalies from CO2 storage facilities
Oropeza-Bacci et al. CSEG 2017
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TimeLapse from DAS → Repeatable and Cost EffectiveMultiwell VSP Acquisition from Active Producers and Injectors
Kyyashenko et al, SEG 2019Mateeva et al, SEG 2017
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Thermal FBE Seismic FBE GLV FBE
DAS Survey for Gas Lift AssessmentProduction and Seismic Monitoring from DAS
Multiwell 3DVSP acquired during dual production string activity
AbdulRahim et al, 2017
Noise in Seismic Data is the Signal for Production and Completions Engineers
Fluid/Thermal Monitoring Well Dynamics Artificial Lift Monitoring
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Subsea Wells and Ocean Bottom Fibers
The Need for Long range DAS: Ability to use long fibers with optical losses from subsea infrastructure
Wet-mate Connector Subsea Wellhead
5.0km in-well fiber
Umbilical 15, 20, 25, 40km Lead Ins
OB-Fibre Optic i.e. 30-50km
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DAS – SeismicRapid Changes in IU for seismic measurements
2007 → Version 1 2008 → Version 2 2010 → Version 3 2017 → Version 4 2019 → Version 5
First Interstage 4DVSP; Byerley et al. 2018First Commercial Microseismic with Tensors, Cole et al. 2018
4DVSP GOM4DVSP CO24DVSP Steam
First Long Range Seismic Acquisition and active seismic survey up to 50km. 50k channels 201915-40km Umbilical testing
2019 → V4 HBSF Fiber agnostic
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50km Long Standard FiberAirgun Source – Ocean Bottom Cable 50000 channels
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Challenge in Subsea Wells → Optical Losses25km Long Fiber with Attenuators from Wetmate connects and Subsea Template
20 Km Lead 5 Km Lead
5 Km BH and Surface cable
4dB = One Subsea well feedthrough (3.5) + One wetmate connector (0.5)
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Well2 Well2 Well3 Surface Layout
20000 channel - Only 5000 channels at 1m spacing are shown
Long Range DAS 25km Umbilical– Interrogating 5km Single Mode Fiber
Minivibe single sweep source
Reflections observed in borehole data without any processing
Lead-in Fiber
www.optasense.com © 2020 OptaSense Ltd.
Autonomous Systems → DAS Data Streaming SolutionsRemote Operations: IU(s) to Remote Processing Centers at Full DS Bandwidth
HewlettPackardServer
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Conclusions
▪ New IU technology can acquire seismic data from fiber optic at long range
▪ Subsea monitoring▪ Long Tie-ins to Subsea Templates with SM fiber (15-25km validated)
▪ Flow profiling monitoring validated with 15-40km tie ins (Summer 2020)
▪ Surface Seismic and OceanBottom-FiberOptic monitoring▪ Long offset DAS can be deployed for long fiber optic spreads on the surface or
ocean bottom
▪ Deployed with 30-50km standard fibers
▪ Commercial Seismic Survey with 50km standard fiber
▪ Radiation patterns for surface seismic are addressed with omnidirectional fibers
▪ Data streaming (raw or processed) makes Distributed Sensing products available in personal devices
